Data Engineer

🕒 November 4, 2025

🏄 California – Remote

🏄 California – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

🚰 Data Engineer

👻 Ghost score 69%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Global Channel Management, Inc.

WebsiteLinkedInAll Job Openings

11 - 50 employees

💼 Consulting

🎯 Recruiter

☁️ SaaS

Consulting • Recruitment • SaaS

Global Channel Management, Inc. is a technology company that specializes in recruiting and staff augmentation services. With over a decade of experience, their account managers and recruiters help organizations address challenges in acquiring skilled talent, manage fluctuating skill needs, and reduce training and labor costs. They focus on providing companies with the best talent to meet various staffing needs and timelines across different verticals.

📋 Description

• Design, implement, and optimize clean, well-structured, and performant analytical datasets to support high-volume reporting, business analysis, and data science model development. • Architect, build, and maintain scalable and robust data pipelines for diverse applications, including business intelligence, advanced analytics. • Implement and support Big Data solutions for both batch (scheduled) and real-time/streaming analytics. • Work closely with product managers and business teams to understand data requirements and translate them into technical solutions.

🎯 Requirements

• 10 years experience • Cloud Platform Expertise (GCP Focus) • Expert-level skills in data ingestion, performance optimization, and data modeling within a petabyte-scale environment • Expert-level programming proficiency in Python • A solid command of advanced SQL for complex querying, data processing, and performance tuning. • Prior experience using workflow management and orchestration tools (e.g., Apache Airflow, Cloud Composer, Airflow,Dagster, or similar) • Experience with version control (Git) and familiarity with CI/CD practices and tools (e.g., GitLab, GitHub Actions) to automate deployment and testing processes